Pitch Deck Teardown: Scalestack's $1M AI sales tech Seed deck

1. All-In-One AI-powered Sales Ops Platform
1

2. Elio Narciso
CEO · 4X founder with 2
exits · ex-AWS · MIT Grad
Alex Prioni
COO · 2X founder
● Co-founded a SaaS design
biz that reached PMF and
$1M in ARR in <2 years.
● Before that, led product at
two startups. Obsessed with
productivity and automation,
using software.
● Started and sold two
companies in the mobile
internet space.
● Built a global GTM program
for startups at AWS
—supporting ventures like
Notion, Webflow and Zapier.
2

3. 3
● ~$XXXK in SaaS revenues in 2022
● ~$XXXK in ARR now (Jul 2023)
● Marquee customers include MongoDB
(already renewed) and Typeform
(recently signed)
● Strong pipeline, with expansion and new

4. 4
Target Stage in sales remains archaic and underdeveloped
Fragmented, low NPS sales tech market
* Source: The Startup Sales Stack Report, by Bowery Capital
For step 1
(Target), there
are a few
proprietary GTM
datasets, but
actually very
little technology
STAGE 1
Target
STAGE 2
Engage
STAGE 3
Convert
STAGE 4
Learn

5. 5
Sales teams spend most of their time
manually researching, organizing and
updating GTM data (top B2B companies
haven’t figured it out)
Messy CRMs
Lots of manual work to find the right target
GTM Data sets talk to the CRM but don’t talk to each other
Inefficiency

6. 6
92% of reps say that their data is not
sufficiently accurate, reliable or usable
AND - leaders make territory mapping, account allocation and
planning decisions based on bad data in their CRM
Low data quality

7. 7
Sales and marketing ops - who own
data curation and pipeline generation -
are losing sleep on this problem
Growing functions within the enterprise and beyond, with
budgets and meaningful missions, visible to CEOs
A relevant, and worried buyer

8. 8
Our solution
Scalestack AI brings all of your GTM
data together, suggests prioritized
actions and helps your reps execute
your sales plays with context.
Unlocks a new level of sales productivity (efficiency)
and generates more pipeline (quality)

9. 9
and are closing millions of $ more worth of business thanks to
better insights, prioritization and allocation.
Daily, >XK of reps across X customers
are being more productive in sales
(better + more pipeline)

10. 10
10
CUSTOMER STORY
Mongo relied on an offshore team to manually gather
intelligence for their CRM from 3rd party data. Data was
often stale, inaccurate, incomplete, and limited.
Mongo now gets a unified view of all their target
accounts and prospects; automated integrations with
data sources; always fresh, well-prioritized data.
Before scalestack
After scalestack
EFFICIENCY AND
QUALITY

11. 11
11
“Since working with Scalestack, the accounts we’ve
closed have resulted in over $XXM in revenues—an
impressive ROI for our investment!
James Underhill
Senior Director, Sales Operations
and Strategy MongoDB
CUSTOMER STORY

12. 12
Product / How it works
Universal APIs: APIs and integrations with sales modules
Data orchestration and enrichment, in context (e.g. ICP)
AI ties it together - workload prioritization and data usability

13. 13
Scalestack GenAI for Sales
Finding information about
companies (Apollo,
Zoominfo, LTI etc.)
Suggesting actionable
steps in the sales process
(Sales plays, ICP, news, etc.)
Support for message
personalization (news,
Linkedin, ICP context
from CRM etc.)
Company or leads
prioritization (news, job
postings, Crunchbase etc.)

14. 14
14
Core: B2B enterprise-tech, late stage / recently IPO’d growth-focused
company; 300-5,000 employees, with sales ops and GTM teams.
13K B2B companies with 500+ employees. ACV $200K+ → $2.6B
$56B+
TOTAL MARKET OPPORTUNITY (INITIAL/ONLY ON TARGETING)
755K B2B companies with 10-50 employees. ACV $50K → $37.8B
TODAY
Core: B2B companies with 100-300 employees, fast growing tech startups
Series B+, with PMF, repeatable sales motion and sales team size 20+
2-3
YEARS
3-5
YEARS
Core: B2B companies with 20-50 employees that have already adopted
a CRM and have a professionally-run sales team
156K B2B companies with 50-500 employees. ACV $100K → 15.6B

15. 15
Scalestack differentiation vs.:
Everyone uses CRMs—but it’s where data goes to die. Scalestack connects
your sales ops data, ensures quality and generates actionable insights
for your sales reps.
Tools like Outreach.io speed up pipeline generation and growth, but focus
on the bottom of the sales funnel: they assume you already have good
data. Scalestack focuses on automating the top of sales funnel (e.g.
sales research) and helps your reps being more productive during the
first critical stage of sales (‘target’).
Proprietary data sets like Zoominfo that reps use for their sales research
today. The datasets are generic and horizontal: everyone gets access to the
same data. Exporting and integrating datasets requires engineering.
Scalestack universal API combines multiple sources to create datasets
based on context about your sales motion, your ICP.
S&M automation
S&M Intelligence,
Contact and Intent
Data Sets
CRMs

16. 16
Scalestack is a
"middleware" for sales ops
- an AI-driven API that:
● Brings data together
(internal and 3rd party
data sources)
● Does data enhancing
and actioning (e.g. job
description synthesizer)
● Provides intelligence
that can be used by
personal agents /
copilots.
* “Game On in the Generative AI Stack”, by Matt McIlwain @Madrona
Positioning (AI perspective)

17. 17
Now: Devs (GitHub Copilot)* // Future: Everyone
*developers who used GitHub Copilot completed the task ~55% faster than the developers who didn’t
Why now?
Within 2 years, every profession
will have its own AI Copilot/agent

18. 18
Join us!
enarciso@scalestack.ai 1216 Broadway - Floor 2 - New York - NY 10001 www.scalestack.ai